Skjervøy vs Mjølner: result 4-2 and analysis
3. Division - Girone 6Group 6 - 4Kick-off on April 29, 2023 at 11:00 AM (UTC)Lerøy Stadion, Skjervøy
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What was the result of Skjervøy vs Mjølner?
Skjervøy won 4-2 on April 29, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjervøy have 6 wins, 3 draws and 6 defeats; Mjølner have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2023 | Oppsal(away) | 2-1 | 3. Division - Girone 6 |
| Apr 16, 2023 | Skeid II(home) | 3-2 | 3. Division - Girone 6 |
| Apr 10, 2023 | Hammerfest IF Stein(away) | 5-2 | 3. Division - Girone 6 |
| Oct 22, 2022 | Tromsø II(home) | 0-0 | 3. Division - Girone 6 |
| Oct 16, 2022 | Senja(away) | 0-0 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2023 | KFUM II(home) | 2-1 | 3. Division - Girone 6 |
| Apr 16, 2023 | Follo(away) | 2-3 | 3. Division - Girone 6 |
| Apr 10, 2023 | Tromsø II(home) | 5-1 | 3. Division - Girone 6 |
| Oct 23, 2022 | Fløya(away) | 2-0 | 3. Division - Girone 6 |
| Oct 16, 2022 | Bossekop(home) | 4-2 | 3. Division - Girone 6 |
What does the head-to-head say?
Across the last 3 meetings: 1 Skjervøy win(s), 0 draw(s), 2 Mjølner win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2022 | Skjervøy 3-1 Mjølner | 3. Division - Girone 6 |
| Jun 25, 2022 | Mjølner 5-1 Skjervøy | 3. Division - Girone 6 |
| Oct 23, 2021 | Skjervøy 1-2 Mjølner | 3. Division - Girone 6 |
How many goals should we expect?
Skjervøy score 1.7 and concede 1.6 goals per match over their last 15; Mjølner score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjervøy | 1.7 | 1.6 | 2 | 10/15 | 9/15 |
| Mjølner | 2.3 | 1.3 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy